Transcription of Multivariate Data Analysis
{{id}} {{{paragraph}}}
Example: bachelor of science
Multivariate Data Analysis
Multivariate Data AnalysisSusan Holmes susan/Bio-X and StatisticsIMA Workshop, October, do not really understand something unless you canexplain it to your grandmother-- Albert EinsteinI am your grandmother ..you do not really understand something unless you canexplain it to your grandmother-- Albert EinsteinI am your grandmother ..What are Multivariate data ?Simplest format: matrices:If we have measured 10,000 genes on hundreds of patientsand all the genes are independent, we can't do better thananalyze each gene's behavior by using histograms or boxplots, looking at the means, medians, variances and other `onedimensional statistics'. However if some of the genes areacting together, either that they are positively correlated orthat they inhibit each other, we will miss a lot of importantinformation by slicing the data up into those column vectorsand studying them separately.
Modern Statistics: Non parametric,multivariate Exploratory Analyses: Hypotheses generating. Projection Methods (new coordinates) Principal Component Analysis Principal Coordinate Analysis-Multidimensional Scaling (PCO,MDS) Correspondence Analysis Discriminant Analysis Tree based methods Phylogenetic Trees Clustering Trees
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: